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Evolutional Aspects of the Construction of Adaptive Knowledge Base

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Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5551))

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Abstract

This paper introduces a theoretical approach of the construction of a self developing and adaptive artificial digital organism with huge remembrance and the ability of the interpretation of the surrounding world. The paper describes the self development of intelligence of digital organisms from small fragments of digital knowledge.

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References

  1. Russel, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice-Hall, Englewood Cliffs (2002)

    Google Scholar 

  2. Adami, C.: Ab Initio of Ecosystems with Artificial Life, arXiv:physics/0209081 v1 22 (2002)

    Google Scholar 

  3. Adami, C.: Sequence Complexity in Darwinian Evolution, Complexity, vol. 8(2). Wiley Periodicals, Chichester (2003)

    Google Scholar 

  4. Adami, C., Ofria, C., Collier, T.: Evolution of Biological Complexity, arXiv:physics/0005074v1 26 (2000)

    Google Scholar 

  5. Barabasi, A.L., Albert, R., Jeong, H.: Mean-field Theory for Scale-Free Random Networks. Elsevier Preprint 5 (submitted to, 2002)

    Google Scholar 

  6. Albert, R., Barabasi, A.L.: Statistical Mechanics of Complex Networks. Reviews of Modern Physics 74 (2002)

    Google Scholar 

  7. Newman, M., Barabasi, A.L., Watts, D.J.: The Structure and Dynamics of Networks. Princeton University Press, Princeton (2006)

    MATH  Google Scholar 

  8. Louis Dollo, http://en.wikipedia.org/wiki/Dollos_law

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, Eotvos Lorand University, Pazmany Peter setany 1/A, 1117, Budapest, Hungary

    Istvan Elek

Authors
  1. Istvan Elek
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Editor information

Editors and Affiliations

  1. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, 07360, México D.F., México

    Wen Yu

  2. Deptartment of Electrical and Computer Engineering, Stevens Institute of Technology, NJ 07030, Hoboken, USA

    Haibo He

  3. Dept. of Electrical and Computer Engineering, South Dakota School of Mines & Technology, 501 E. St. Joseph Street, Rapid City, SD 57701, USA

    Nian Zhang

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© 2009 Springer-Verlag Berlin Heidelberg

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Elek, I. (2009). Evolutional Aspects of the Construction of Adaptive Knowledge Base. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01507-6_118

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  • DOI: https://doi.org/10.1007/978-3-642-01507-6_118

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01506-9

  • Online ISBN: 978-3-642-01507-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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